Sign inGet started
Dataset · Hugging Face

Yesianrohn/OCR-Data

OCR Text Detection and Recognition Dataset Dataset Description A large-scale, multi-source OCR dataset aggregating 14 public benchmarks for text detection and recognition in both scene images and handwritten documents. Each image is paired with: Transcribed text for each text region Bounding boxes (axis-aligned rectangles) for each text region Polygon coordinates (precise boundary points) for each text region The dataset is stored in HuggingFace Parquet format… See the full description on the dataset page: https://huggingface.co/datasets/Yesianrohn/OCR-Data.

Author / organizationYesianrohn
License (as declared)apache-2.0
Downloads1.5K (as reported by Hugging Face)
Likes8
Created10 April 2026
Last updated at source12 April 2026
ocrtext-detectiontext-recognitiondocument-understandingscene-texthandwritten-chinese
Embed this entry
<iframe src="https://silytics.si/embed/item/4cd7d5eb-9613-478c-8b1e-a59cb19d67f7" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

1,472 now (-148 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: OCR Text Detection and Recognition Dataset Dataset Description A large-scale, multi-source OCR dataset aggregating 14 public benchmarks for text detection and recognition in both scene images and handwritten documents. Each image is paired → OCR Text Detection and Recognition Dataset Dataset Description A large-scale, multi-source OCR dataset aggregating 14 public benchmarks for text detection and recognition in both scene images and handwritten documents. Each image is paired

Changes detected by Silytics between refreshes of the source.

More from Yesianrohn

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.